The application discloses a kind of based on
deep learning's tuberculin test intelligent
screening analysis method and device, wherein, method includes: the image of patient's
skin test is collected, and pre-
processing is carried out, obtains target image, identifies the
lesion area of target visible light image and marks, obtains target identification image carrying with image coding, constructs specificity identification model, identifies whether target image includes specific reaction
lesion, if contains, then determine target identification image as strong positive, and carries out strong positive marking;If not contain, then according to target
infrared image auxiliary hard knot identification model is identified to target identification image, judge whether to contain hard knot and / or red halo, and obtain target size;According to the relationship between target size and preset standard size, judge whether target identification image exists
tuberculosis infection and infection degree.The application realizes the contactless detection of
tuberculosis infection, improves the detection efficiency and detection accuracy, and helps the prevention and treatment of
tuberculosis.